Tairan Wang

618 total citations · 1 hit paper
20 papers, 353 citations indexed

About

Tairan Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Tairan Wang has authored 20 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 5 papers in Organic Chemistry. Recurrent topics in Tairan Wang's work include Machine Learning in Materials Science (5 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Wireless Communication Security Techniques (4 papers). Tairan Wang is often cited by papers focused on Machine Learning in Materials Science (5 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Wireless Communication Security Techniques (4 papers). Tairan Wang collaborates with scholars based in China, Saudi Arabia and United States. Tairan Wang's co-authors include Georgios B. Giannakis, Runhai Ouyang, Wei‐Xue Li, Sulei Hu, Yingwei Yao, Xijun Wang, Shuang Jiang, Guozhen Zhang, Fan Wu and Sheng Ye and has published in prestigious journals such as Science, Journal of the American Chemical Society and Science Advances.

In The Last Decade

Tairan Wang

18 papers receiving 336 citations

Hit Papers

Nature of metal-support interaction for metal catalysts o... 2024 2026 2025 2024 40 80 120

Peers

Tairan Wang
Comparison fields: 5 of 58
  • Materials Chemistry 172
  • Electrical and Electronic Engineering 95
  • Renewable Energy, Sustainability and the Environment 86
  • Catalysis 70
  • Computer Networks and Communications 68
Replace Qingyi Liu with:
Qingyi Liu China
Daniel Köhler Germany
Y. Sakamoto Japan
Steen Lysgaard Denmark
Kazufumi Nishida Japan
Xiangdong Qin United States
Chibiao Liu China
Caitlin Callaghan United States
Qingyi Liu China View profile →
Citations per field, relative to Tairan Wang
Tairan Wang · 1×
Citations per year, relative to Tairan Wang
Tairan Wang · 1×

Countries citing papers authored by Tairan Wang

Since Specialization
Citations

This map shows the geographic impact of Tairan Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tairan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tairan Wang more than expected).

Fields of papers citing papers by Tairan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tairan Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tairan Wang. The network helps show where Tairan Wang may publish in the future.

Co-authorship network of co-authors of Tairan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tairan Wang. A scholar is included among the top collaborators of Tairan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tairan Wang. Tairan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 2
4 0
5 4
6
Nature of metal-support interaction for metal catalysts on oxide supports breakdown →
126
7 1
8 24
9 7
10 6
11 6
12 5
13 1
14 71
15 16
16 5
17 2
18 3
19 26
20 45

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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